Integrated spectral image registration protocol for enhanced land pollution assessment and management: bridging satellite and drone data for high-resolution mapping

Abstract

A satellite equipped with a spectroscopy camera is a valuable tool for examining land pollution caused by mine waste across a large region. Due to the limited resolution of spectral images, merging them with high-resolution images obtained at lower altitudes can improve local resolution without producing pseudo-data. In order to produce high-resolution spectrum maps from spectral data gathered from satellite and drone imagery shot at various altitudes, an image registration procedure was devised in this study. The establishment of this protocol will facilitate the development of more precise land pollution discovery techniques and aid in the integration of various altitude data, which has not been fully utilized up to this point altitudes. The development of novel methods for sophisticated image registration and the system’s implementation through field research and lab testing are the two primary objectives of this project. We suggested a process and technique for spectral image registration in the first section. In the second section, spectral images captured at different elevations at the mine site were used to test the image registration using the suggesting method. Consequently, spectral image registration algorithms for different altitudes and high-resolution spectral maps were established.